Speed-sensorless vector control of surface-mounted PMS motor based on modified interacting multiple-model EKF

This paper proposed Interacting Multiple Model EKF (IMM-EKF) for estimating the angular speed and rotor position of surface-mounted PMS motor in presence of wide range of process and measurement noises. In this algorithm, four IMM-EKF groups are built based on different noise levels. Appropriate model is selected by a switch function, which get good performance at stable state and robust ability. By this method, on-line and accurate speed and position estimation could be performed to implement sensorless vector control. The simulation results validate the accuracy, stability and robustness of proposed scheme in noisy condition.